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We examine the rational utility and social–psychological approaches to develop fresh insights into nonviolent civil resistance. Rational utility models provide a useful, even essential, starting point for understanding what movement organizers must do if they are to overcome their movements’ collective action problems. However, the model's spare definition of agency excludes an investigation of regime legitimacy, how it is constructed and the role it plays in regime continuity. Employing a social psychological approach, we introduce the concept of “ideational assault” in which movement organizers challenge the ideas that justify voluntary civic cooperation with the ruling order. Ideational assault seeks “rhetorical coercion” in which the regime is stripped of credible arguments in its own defense and must increasingly rule by sanctions alone. Ideational assaults employ frames that delegitimize the prevailing order and mobilize people to act against it. By examining several frame forms, including, calls to action, symbolic jiu-jitsu, humor, and moral appeal, we cast new light on the ideational battle that rages alongside the fight for control of the streets. We conclude by arguing that students of nonviolent civil resistance should consult both the rational and social–psychological approaches in their analysis.

This chapter claims technology to be a principal mode of regulation in formal organizations alongside social structure and culture. Such a claim breaks with the conventional neo-institutional outlook that considers technology outside the object of institutional analysis of organizations. The distinctive regulative logic of computational technology is manifested in the increasing entanglement of domain-specific practices and their underlying cognitive and normative order with the decontextualized principles and methods that have traditionally been deployed in the management and control of work operations. Such entanglement and the effects it generates reflect the reshuffling of the regulative reach of technology, social structure and culture under the pressures exercised by the dynamics of current technological change and the impressive involvement of computational systems and artefacts in human affairs.

The Rajapaksa regime over the 2005–2022 period promoted a national-popular project based on a militarised Sinhala-Buddhist nationalism promoting a market-driven rentier economy. It illustrated a form of patrimonial capitalism undermining public accountability and the efficacy of the state bureaucracy. This popular-national project was dependent on strengthening ties with China while distancing relations with India and the Global North (USA and the EU). The ways in which the external relations were coordinated reinforced discrimination against Tamil and Muslim communities, while disregarding their demands for justice and reparations. The increasing integration of the economy with financial markets, driven by the Central Bank, amplified the commercialisation of the state, restraining public revenues and state oversight. Meanwhile, the militarisation of the state involved the commercialisation of the military, opaque military budgets and violent repression of protests. The Rajapaksa regime, which enabled a minority-privileged (leisure) class to culturally flourish in regulated safe spaces, also instigated multiple protests from below demanding democracy as well as justice.

The Epidemiologic Transition can help us understand a fundamental puzzle about aging. The puzzle stems from two seemingly contradictory facts. The first fact is that death rates from noninfectious degenerative maladies – the so-called diseases of aging – increase as people age. It seems to be at odds with the historical fact that for nearly a century in which people were aging more than ever before, the aggregate rates of such diseases have been decreasing. In what sense can both be true? Crucial to resolving the puzzle are the age-profiles of such diseases in cohorts that grew up in the different regimes of the Transition. For each cohort, noninfectious diseases had increased with age, resulting in an upward-sloping age profile, which affirms the first fact. As the regimes were transitioning from the Malthusian to the modern one, however, the profiles of successive cohorts had been shifting downward: death rates from noninfectious diseases were shrinking at each age, signifying the newer cohorts’ greater aging potentials. The shifting profiles had been renewing the cohort mix of the population, shaping the century-long descent of such diseases in aggregate, giving rise to the historical fact. The profiles had shifted early in the cohorts’ adult years, associating closely with the newer epidemiologic conditions in childhood. Those conditions appear to be a circumstance under which aging potentials of cohorts could be misgauged, including in one troubling episode in the first half of the nineteenth century when the potentials had reversed.

We address an interesting case – the predictability of excess US asset returns from macroeconomic factors within a flexible regime-switching VAR framework – in which the presence of regimes may lead to superior forecasting performance from forecast combinations. After documenting that forecast combinations provide gains in predictive accuracy and that these gains are statistically significant, we show that forecast combinations may substantially improve portfolio selection. We find that the best-performing forecast combinations are those that either avoid estimating the pooling weights or that minimize the need for estimation. In practice, we report that the best-performing combination schemes are based on the principle of relative past forecasting performance. The economic gains from combining forecasts in portfolio management applications appear to be large, stable over time, and robust to the introduction of realistic transaction costs.

We introduce a multi-level model of the dependence of interfirm network topologies on the distribution and commonality of information in a network and the information strategies pursued by its member firms. Network topology, information properties of the network, and firm-level action within the network form dynamic, recursive, cross-level relationships – information properties in the network determine firm-level action, which in turn impacts the network topology and information properties. We derive predictions about the kinds of information strategies that firms are likely to adopt and succeed with in different information regimes, and about the kinds and short- and long-run dynamics of network topologies expected under different information regimes. Our model sheds new light on network topologies as a dependent variable that can be explained by network-level information regimes and firm-level information strategies.

In this chapter, we outline the statistical consequences of neglecting structural breaks and regime switches in autoregressive and GARCH models and propose two strategies to approach the problem. The first strategy is to identify regimes of constant unconditional volatility using a change point detector and estimate a separate GARCH model on the resulting segments. The second approach is to use a multiple-regime GARCH model, such as the Flexible Coefficient GARCH (FCGARCH) specification, where the regime-switches are governed by an observable variable. We apply both alternatives to an array of financial time series and compare their forecast performance.

This chapter revisits and extends the multiple-source, multiple-object theory of legitimacy in organizations. It introduces the idea of legitimized regimes and uses it to extend the theory’s range beyond the usual focus on power and domination. The theory describes mechanisms that: (1) establish the legitimacy of new or contested regimes; and (2) facilitate the spread of legitimacy to structures and processes that lie outside organizational boundaries. The chapter uses current affirmative action debates to illustrate the mechanisms under study. The work concludes with a summary that includes discussion of prospects for research on extensions of the multiple-source, multiple-object theory.

Marshall (1950, p. 10) saw civil citizenship rights as concerning individual liberties, such as freedom of speech, property ownership rights, personal liberties and rights to justice. Women obtained many of these rights only after the acknowledgement of their political citizenship (Walby, 1997, p. 175) and much later than men did. Civil citizenship includes a whole range of issues which cannot be covered in this book. This book focuses on the gender aspects of ownership and land succession. Land succession is interrelated with a series of other civil citizenship rights issues such as access to training and education. While succession is also interrelated with issues of social (social security eligibility), economic (division of labour in the families) and political (political participation and representation) citizenship issues, these relations are to be discussed later.

I survey applications of Markov switching models to the asset pricing and portfolio choice literatures. In particular, I discuss the potential that Markov switching models have to fit financial time series and at the same time provide powerful tools to test hypotheses formulated in the light of financial theories, and to generate positive economic value, as measured by risk-adjusted performances, in dynamic asset allocation applications. The chapter also reviews the role of Markov switching dynamics in modern asset pricing models in which the no-arbitrage principle is used to characterize the properties of the fundamental pricing measure in the presence of regimes.